svd_faces_test():
  MATLAB/Octave version 5.2.0
  svd_faces() implements an SVD-based projection method for facial analysis.

line_count_test()
  line_count() counts the lines in a file.

  Count the (10) lines in "s01_list.txt"

  Number of lines counted is 10

imshow_numeric_test():
  imshow_numeric() displays a numeric MxN array as a grayscale image.
  In the best case, the array contains integers
  between 0 (black) and 255 (white).

pgm_read_test():
  Read a binary PGM file.

pgm_display_test():
  Read and display a binary PGM file.

pgms_pack_test():
  Pack multiple PGM files into a single array.

  Packing files from the list "s01_list.txt"
  1  s0101.pgm
  2  s0102.pgm
  3  s0103.pgm
  4  s0104.pgm
  5  s0105.pgm
  6  s0106.pgm
  7  s0107.pgm
  8  s0108.pgm
  9  s0109.pgm
  10  s0110.pgm

  Packed array contains 10 PGM files
  Each PGM has width 92 and height 112

svd_vectors_test():
  svd_vectors() computes SVD vectors.
  Pack multiple PGM files into a single array.
  Do SVD analysis.
  Display the SVD vectors.

  Packing files from the list "s01_list.txt"
  1  s0101.pgm
  2  s0102.pgm
  3  s0103.pgm
  4  s0104.pgm
  5  s0105.pgm
  6  s0106.pgm
  7  s0107.pgm
  8  s0108.pgm
  9  s0109.pgm
  10  s0110.pgm

  Packed array contains 10 PGM files
  Each PGM has width 92 and height 112

  Confirm that the vectors are orthonormal:
  V' * V = I?

   1.0000e+00  -1.0408e-17   6.4701e-16  -4.6838e-17  -1.5878e-16
  -1.0408e-17   1.0000e+00   3.7687e-16  -8.8959e-17   6.9909e-16
   6.4701e-16   3.7687e-16   1.0000e+00  -1.5417e-16  -1.1102e-16
  -4.6838e-17  -8.8959e-17  -1.5417e-16   1.0000e+00   5.1147e-17
  -1.5878e-16   6.9909e-16  -1.1102e-16   5.1147e-17   1.0000e+00

pgm_project_test():
  Pack multiple PGM files into a single array.
  Generate a set of principal component vectors.
  Given one of those PGM files, reconstruct the image
  as a sum of the average plus projections onto vectors.
  Repeat for a PGM file that is NOT in the database.
PGM_PROJECT:

  Packing files from the list "s01_list.txt"
  Extracting average and 9 SVD vectors
  Projecting PGM data from file "s0103.pgm"
  1  s0101.pgm
  2  s0102.pgm
  3  s0103.pgm
  4  s0104.pgm
  5  s0105.pgm
  6  s0106.pgm
  7  s0107.pgm
  8  s0108.pgm
  9  s0109.pgm
  10  s0110.pgm

  Packed array contains 10 PGM files
  Each PGM has width 92 and height 112

  Projections of image onto vectors:

  1  -2106.1
  2  286.377
  3  1151.83
  4  -942.546
  5  1947.07
  6  -618.825
  7  -197.054
  8  34.8283
  9  38.4802

  Vectors  |error|

  0  3308.82
  1  2551.99
  2  2535.88
  3  2259.19
  4  2053.18
  5  651.513
  6  203.775
  7  51.9012
  8  38.4802
  9  3.24542e-12

PGM_PROJECT:

  Packing files from the list "s01_list.txt"
  Extracting average and 9 SVD vectors
  Projecting PGM data from file "s0203.pgm"
  1  s0101.pgm
  2  s0102.pgm
  3  s0103.pgm
  4  s0104.pgm
  5  s0105.pgm
  6  s0106.pgm
  7  s0107.pgm
  8  s0108.pgm
  9  s0109.pgm
  10  s0110.pgm

  Packed array contains 10 PGM files
  Each PGM has width 92 and height 112

  Projections of image onto vectors:

  1  -1151.3
  2  425.138
  3  1359.86
  4  -541.36
  5  -208.516
  6  -209.41
  7  68.5654
  8  -76.4807
  9  310.032

  Vectors  |error|

  0  4257.67
  1  4099.06
  2  4076.95
  3  3843.48
  4  3805.16
  5  3799.44
  6  3793.67
  7  3793.05
  8  3792.28
  9  3779.58

pgm_project_display_test():
  Pack multiple PGM files into a single array.
  Generate a set of principal component vectors.
  Given one of those PGM files, reconstruct the image
  as a sum of the average plus projections onto vectors.
  Display the projections in a single plot.
pgm_project_display():
  Packing files from the list "s01_list.txt"
  Extracting average and 9 SVD vectors
  Projecting PGM data from file "s0103.pgm"
  1  s0101.pgm
  2  s0102.pgm
  3  s0103.pgm
  4  s0104.pgm
  5  s0105.pgm
  6  s0106.pgm
  7  s0107.pgm
  8  s0108.pgm
  9  s0109.pgm
  10  s0110.pgm

  Packed array contains 10 PGM files
  Each PGM has width 92 and height 112

  Projections of image onto vectors:

  1  -2106.1
  2  286.377
  3  1151.83
  4  -942.546
  5  1947.07
  6  -618.825
  7  -197.054
  8  34.8283
  9  38.4802

  Vectors  |error|

  0  3308.82
  1  2551.99
  2  2535.88
  3  2259.19
  4  2053.18
  5  651.513
  6  203.775
  7  51.9012
  8  38.4802
  9  3.24542e-12

pgm_project_display_test():
  Pack multiple PGM files into a single array.
  Generate a set of principal component vectors.
  Given one of those PGM files, reconstruct the image
  as a sum of the average plus projections onto vectors.
  Display the projections in a single plot.
pgm_project_display():
  Packing files from the list "s01_list.txt"
  Extracting average and 9 SVD vectors
  Projecting PGM data from file "s0103.pgm"
  1  s0101.pgm
  2  s0102.pgm
  3  s0103.pgm
  4  s0104.pgm
  5  s0105.pgm
  6  s0106.pgm
  7  s0107.pgm
  8  s0108.pgm
  9  s0109.pgm
  10  s0110.pgm

  Packed array contains 10 PGM files
  Each PGM has width 92 and height 112

  Projections of image onto vectors:

  1  -2106.1
  2  286.377
  3  1151.83
  4  -942.546
  5  1947.07
  6  -618.825
  7  -197.054
  8  34.8283
  9  38.4802

  Vectors  |error|

  0  3308.82
  1  2551.99
  2  2535.88
  3  2259.19
  4  2053.18
  5  651.513
  6  203.775
  7  51.9012
  8  38.4802
  9  3.24542e-12

svd_faces_test():
  Normal end of execution.